Adding TensorVolumePatchOP.h for sycl

This commit is contained in:
Mehdi Goli
2017-02-24 19:16:24 +00:00
parent 0b7875f137
commit 2fa2b617a9
9 changed files with 359 additions and 16 deletions

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@@ -177,6 +177,16 @@ KERNELBROKERCONVERTIMAGEPATCHOP()
#undef KERNELBROKERCONVERTIMAGEPATCHOP
/// specialisation of the \ref ConvertToDeviceExpression struct when the node type is TensorVolumePatchOp
#define KERNELBROKERCONVERTVOLUMEPATCHOP(CVQual)\
template<DenseIndex Plannes, DenseIndex Rows, DenseIndex Cols, typename XprType>\
struct ConvertToDeviceExpression<CVQual TensorVolumePatchOp<Plannes, Rows, Cols, XprType> >{\
typedef CVQual TensorVolumePatchOp<Plannes, Rows, Cols, typename ConvertToDeviceExpression<XprType>::Type> Type;\
};
KERNELBROKERCONVERTVOLUMEPATCHOP(const)
KERNELBROKERCONVERTVOLUMEPATCHOP()
#undef KERNELBROKERCONVERTVOLUMEPATCHOP
} // namespace internal

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@@ -404,6 +404,28 @@ SYCLTENSORIMAGEPATCHOPEXPR(const)
SYCLTENSORIMAGEPATCHOPEXPR()
#undef SYCLTENSORIMAGEPATCHOPEXPR
// TensorVolumePatchOp
#define SYCLTENSORVOLUMEPATCHOPEXPR(CVQual)\
template<DenseIndex Planes, DenseIndex Rows, DenseIndex Cols, typename OrigXprType, typename XprType, typename... Params>\
struct ExprConstructor<CVQual TensorVolumePatchOp<Planes, Rows, Cols, OrigXprType>, CVQual TensorVolumePatchOp<Planes, Rows, Cols, XprType>, Params... > {\
typedef ExprConstructor<OrigXprType, XprType, Params...> my_xpr_type;\
typedef CVQual TensorVolumePatchOp<Planes, Rows, Cols, typename my_xpr_type::Type> Type;\
my_xpr_type xprExpr;\
Type expr;\
template <typename FuncDetector>\
ExprConstructor(FuncDetector &funcD, const utility::tuple::Tuple<Params...> &t)\
: xprExpr(funcD.xprExpr, t), expr(xprExpr.expr, funcD.m_patch_planes, funcD.m_patch_rows, funcD.m_patch_cols, funcD.m_plane_strides, funcD.m_row_strides, funcD.m_col_strides,\
funcD.m_in_plane_strides, funcD.m_in_row_strides, funcD.m_in_col_strides,funcD.m_plane_inflate_strides, funcD.m_row_inflate_strides, funcD.m_col_inflate_strides, \
funcD.m_padding_top_z, funcD.m_padding_bottom_z, funcD.m_padding_top, funcD.m_padding_bottom, funcD.m_padding_left, funcD.m_padding_right, funcD.m_padding_value,\
funcD.m_padding_type, funcD.m_padding_explicit){\
}\
};
SYCLTENSORVOLUMEPATCHOPEXPR(const)
SYCLTENSORVOLUMEPATCHOPEXPR()
#undef SYCLTENSORVOLUMEPATCHOPEXPR
// TensorLayoutSwapOp
#define SYCLTENSORLAYOUTSWAPOPEXPR(CVQual)\

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@@ -240,6 +240,21 @@ SYCLTENSORIMAGEPATCHOPEXTACC()
#undef SYCLTENSORIMAGEPATCHOPEXTACC
// specialisation of the \ref ExtractAccessor struct when the node type is
/// TensorVolumePatchOp.
#define SYCLTENSORVOLUMEPATCHOPEXTACC(CVQual)\
template<DenseIndex Planes, DenseIndex Rows, DenseIndex Cols, typename XprType, typename Dev>\
struct ExtractAccessor<TensorEvaluator<CVQual TensorVolumePatchOp<Planes, Rows, Cols, XprType>, Dev> >{\
static inline auto getTuple(cl::sycl::handler& cgh, const TensorEvaluator<CVQual TensorVolumePatchOp<Planes, Rows, Cols, XprType>, Dev>& eval)\
RETURN_CPP11(AccessorConstructor::getTuple(cgh, eval.impl()))\
};
SYCLTENSORVOLUMEPATCHOPEXTACC(const)
SYCLTENSORVOLUMEPATCHOPEXTACC()
#undef SYCLTENSORVOLUMEPATCHOPEXTACC
// specialisation of the \ref ExtractAccessor struct when the node type is
/// TensorLayoutSwapOp.
#define SYCLTENSORLAYOUTSWAPOPEXTACC(CVQual)\

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@@ -344,6 +344,50 @@ FunctorExtractor(const TensorEvaluator<Self, Device>& expr)\
SYCLEXTRFUNCIMAGEPATCHOP(const)
SYCLEXTRFUNCIMAGEPATCHOP()
#undef SYCLEXTRFUNCIMAGEPATCHOP
/// TensorVolumePatchOp
#define SYCLEXTRFUNCVOLUMEPATCHOP(CVQual)\
template<DenseIndex Planes, DenseIndex Rows, DenseIndex Cols, typename XprType, typename Device>\
struct FunctorExtractor<TensorEvaluator<CVQual TensorVolumePatchOp<Planes, Rows, Cols, XprType>, Device> >{\
typedef CVQual TensorVolumePatchOp<Planes, Rows, Cols, XprType> Self;\
FunctorExtractor<Eigen::TensorEvaluator<XprType, Device> > xprExpr;\
const DenseIndex m_patch_planes;\
const DenseIndex m_patch_rows;\
const DenseIndex m_patch_cols;\
const DenseIndex m_plane_strides;\
const DenseIndex m_row_strides;\
const DenseIndex m_col_strides;\
const DenseIndex m_in_plane_strides;\
const DenseIndex m_in_row_strides;\
const DenseIndex m_in_col_strides;\
const DenseIndex m_plane_inflate_strides;\
const DenseIndex m_row_inflate_strides;\
const DenseIndex m_col_inflate_strides;\
const bool m_padding_explicit;\
const DenseIndex m_padding_top_z;\
const DenseIndex m_padding_bottom_z;\
const DenseIndex m_padding_top;\
const DenseIndex m_padding_bottom;\
const DenseIndex m_padding_left;\
const DenseIndex m_padding_right;\
const PaddingType m_padding_type;\
const typename Self::Scalar m_padding_value;\
FunctorExtractor(const TensorEvaluator<Self, Device>& expr)\
: xprExpr(expr.impl()), m_patch_planes(expr.xpr().patch_planes()), m_patch_rows(expr.xpr().patch_rows()), m_patch_cols(expr.xpr().patch_cols()),\
m_plane_strides(expr.xpr().plane_strides()), m_row_strides(expr.xpr().row_strides()), m_col_strides(expr.xpr().col_strides()),\
m_in_plane_strides(expr.xpr().in_plane_strides()), m_in_row_strides(expr.xpr().in_row_strides()), m_in_col_strides(expr.xpr().in_col_strides()),\
m_plane_inflate_strides(expr.xpr().plane_inflate_strides()),m_row_inflate_strides(expr.xpr().row_inflate_strides()),\
m_col_inflate_strides(expr.xpr().col_inflate_strides()), m_padding_explicit(expr.xpr().padding_explicit()),\
m_padding_top_z(expr.xpr().padding_top_z()), m_padding_bottom_z(expr.xpr().padding_bottom_z()), \
m_padding_top(expr.xpr().padding_top()), m_padding_bottom(expr.xpr().padding_bottom()), m_padding_left(expr.xpr().padding_left()),\
m_padding_right(expr.xpr().padding_right()), m_padding_type(expr.xpr().padding_type()),m_padding_value(expr.xpr().padding_value()){}\
};
SYCLEXTRFUNCVOLUMEPATCHOP(const)
SYCLEXTRFUNCVOLUMEPATCHOP()
#undef SYCLEXTRFUNCVOLUMEPATCHOP
/// template deduction function for FunctorExtractor
template <typename Evaluator>
auto inline extractFunctors(const Evaluator& evaluator)-> FunctorExtractor<Evaluator> {

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@@ -151,7 +151,7 @@ CHIPPINGOPLEAFCOUNT(const)
CHIPPINGOPLEAFCOUNT()
#undef CHIPPINGOPLEAFCOUNT
///TensorStridingSlicingOp
#define SLICESTRIDEOPLEAFCOUNT(CVQual)\
template<typename StartIndices, typename StopIndices, typename Strides, typename XprType>\
struct LeafCount<CVQual TensorStridingSlicingOp<StartIndices, StopIndices, Strides, XprType> >:CategoryCount<XprType>{};
@@ -160,7 +160,7 @@ SLICESTRIDEOPLEAFCOUNT(const)
SLICESTRIDEOPLEAFCOUNT()
#undef SLICESTRIDEOPLEAFCOUNT
//TensorImagePatchOp
#define TENSORIMAGEPATCHOPLEAFCOUNT(CVQual)\
template<DenseIndex Rows, DenseIndex Cols, typename XprType>\
struct LeafCount<CVQual TensorImagePatchOp<Rows, Cols, XprType> >:CategoryCount<XprType>{};
@@ -170,6 +170,15 @@ TENSORIMAGEPATCHOPLEAFCOUNT(const)
TENSORIMAGEPATCHOPLEAFCOUNT()
#undef TENSORIMAGEPATCHOPLEAFCOUNT
// TensorVolumePatchOp
#define TENSORVOLUMEPATCHOPLEAFCOUNT(CVQual)\
template<DenseIndex Planes, DenseIndex Rows, DenseIndex Cols, typename XprType>\
struct LeafCount<CVQual TensorVolumePatchOp<Planes, Rows, Cols, XprType> >:CategoryCount<XprType>{};
TENSORVOLUMEPATCHOPLEAFCOUNT(const)
TENSORVOLUMEPATCHOPLEAFCOUNT()
#undef TENSORVOLUMEPATCHOPLEAFCOUNT
} /// namespace TensorSycl
} /// namespace internal

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@@ -235,6 +235,20 @@ SYCLTENSORIMAGEPATCHOP()
#undef SYCLTENSORIMAGEPATCHOP
/// specialisation of the \ref PlaceHolderExpression when the node is
/// TensorVolumePatchOp
#define SYCLTENSORVOLUMEPATCHOP(CVQual)\
template<DenseIndex Planes, DenseIndex Rows, DenseIndex Cols, typename XprType, size_t N>\
struct PlaceHolderExpression<CVQual TensorVolumePatchOp<Planes,Rows, Cols, XprType>, N> {\
typedef CVQual TensorVolumePatchOp<Planes,Rows, Cols, typename CalculateIndex <N, XprType>::ArgType> Type;\
};
SYCLTENSORVOLUMEPATCHOP(const)
SYCLTENSORVOLUMEPATCHOP()
#undef SYCLTENSORVOLUMEPATCHOP
/// template deduction for \ref PlaceHolderExpression struct
template <typename Expr>
struct createPlaceHolderExpression {

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@@ -65,12 +65,8 @@ class TensorVolumePatchOp : public TensorBase<TensorVolumePatchOp<Planes, Rows,
DenseIndex in_plane_strides, DenseIndex in_row_strides, DenseIndex in_col_strides,
DenseIndex plane_inflate_strides, DenseIndex row_inflate_strides, DenseIndex col_inflate_strides,
PaddingType padding_type, Scalar padding_value)
: m_xpr(expr), m_patch_planes(patch_planes), m_patch_rows(patch_rows), m_patch_cols(patch_cols),
m_plane_strides(plane_strides), m_row_strides(row_strides), m_col_strides(col_strides),
m_in_plane_strides(in_plane_strides), m_in_row_strides(in_row_strides), m_in_col_strides(in_col_strides),
m_plane_inflate_strides(plane_inflate_strides), m_row_inflate_strides(row_inflate_strides), m_col_inflate_strides(col_inflate_strides),
m_padding_explicit(false), m_padding_top_z(0), m_padding_bottom_z(0), m_padding_top(0), m_padding_bottom(0), m_padding_left(0), m_padding_right(0),
m_padding_type(padding_type), m_padding_value(padding_value) {}
: TensorVolumePatchOp(expr, patch_planes, patch_rows, patch_cols, plane_strides, row_strides, col_strides, in_plane_strides, in_row_strides, in_col_strides,
plane_inflate_strides, row_inflate_strides, col_inflate_strides, 0,0,0,0,0,0,padding_value, padding_type, false) {}
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorVolumePatchOp(const XprType& expr, DenseIndex patch_planes, DenseIndex patch_rows, DenseIndex patch_cols,
DenseIndex plane_strides, DenseIndex row_strides, DenseIndex col_strides,
@@ -79,14 +75,14 @@ class TensorVolumePatchOp : public TensorBase<TensorVolumePatchOp<Planes, Rows,
DenseIndex padding_top_z, DenseIndex padding_bottom_z,
DenseIndex padding_top, DenseIndex padding_bottom,
DenseIndex padding_left, DenseIndex padding_right,
Scalar padding_value)
Scalar padding_value, PaddingType padding_type=PADDING_VALID, bool padding_explicit=true)
: m_xpr(expr), m_patch_planes(patch_planes), m_patch_rows(patch_rows), m_patch_cols(patch_cols),
m_plane_strides(plane_strides), m_row_strides(row_strides), m_col_strides(col_strides),
m_in_plane_strides(in_plane_strides), m_in_row_strides(in_row_strides), m_in_col_strides(in_col_strides),
m_plane_inflate_strides(plane_inflate_strides), m_row_inflate_strides(row_inflate_strides), m_col_inflate_strides(col_inflate_strides),
m_padding_explicit(true), m_padding_top_z(padding_top_z), m_padding_bottom_z(padding_bottom_z), m_padding_top(padding_top), m_padding_bottom(padding_bottom),
m_padding_explicit(padding_explicit), m_padding_top_z(padding_top_z), m_padding_bottom_z(padding_bottom_z), m_padding_top(padding_top), m_padding_bottom(padding_bottom),
m_padding_left(padding_left), m_padding_right(padding_right),
m_padding_type(PADDING_VALID), m_padding_value(padding_value) {}
m_padding_type(padding_type), m_padding_value(padding_value) {}
EIGEN_DEVICE_FUNC
DenseIndex patch_planes() const { return m_patch_planes; }
@@ -183,9 +179,13 @@ struct TensorEvaluator<const TensorVolumePatchOp<Planes, Rows, Cols, ArgType>, D
CoordAccess = false,
RawAccess = false
};
#ifdef __SYCL_DEVICE_ONLY__
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorEvaluator( const XprType op, const Device& device)
#else
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorEvaluator( const XprType& op, const Device& device)
#endif
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE TensorEvaluator(const XprType& op, const Device& device)
: m_impl(op.expression(), device)
: m_impl(op.expression(), device), m_op(op)
{
EIGEN_STATIC_ASSERT((NumDims >= 5), YOU_MADE_A_PROGRAMMING_MISTAKE);
@@ -321,7 +321,9 @@ struct TensorEvaluator<const TensorVolumePatchOp<Planes, Rows, Cols, ArgType>, D
m_outputPlanesRows = m_outputPlanes * m_outputRows;
// Fast representations of different variables.
// printf("THis is m_otherStride: %lu\n", m_otherStride );
m_fastOtherStride = internal::TensorIntDivisor<Index>(m_otherStride);
m_fastPatchStride = internal::TensorIntDivisor<Index>(m_patchStride);
m_fastColStride = internal::TensorIntDivisor<Index>(m_colStride);
m_fastRowStride = internal::TensorIntDivisor<Index>(m_rowStride);
@@ -338,7 +340,6 @@ struct TensorEvaluator<const TensorVolumePatchOp<Planes, Rows, Cols, ArgType>, D
m_fastOutputDepth = internal::TensorIntDivisor<Index>(m_dimensions[NumDims-1]);
}
}
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Dimensions& dimensions() const { return m_dimensions; }
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE bool evalSubExprsIfNeeded(Scalar* /*data*/) {
@@ -352,6 +353,7 @@ struct TensorEvaluator<const TensorVolumePatchOp<Planes, Rows, Cols, ArgType>, D
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE CoeffReturnType coeff(Index index) const
{
// Patch index corresponding to the passed in index.
const Index patchIndex = index / m_fastPatchStride;
@@ -505,6 +507,8 @@ struct TensorEvaluator<const TensorVolumePatchOp<Planes, Rows, Cols, ArgType>, D
EIGEN_DEVICE_FUNC Scalar* data() const { return NULL; }
const TensorEvaluator<ArgType, Device>& impl() const { return m_impl; }
// required by sycl
EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const XprType& xpr() const { return m_op; }
Index planePaddingTop() const { return m_planePaddingTop; }
Index rowPaddingTop() const { return m_rowPaddingTop; }
@@ -600,6 +604,8 @@ struct TensorEvaluator<const TensorVolumePatchOp<Planes, Rows, Cols, ArgType>, D
Scalar m_paddingValue;
TensorEvaluator<ArgType, Device> m_impl;
// required by sycl
XprType m_op;
};